{"id":"W2802566692","doi":"10.5539/gjhs.v10n6p114","title":"Prospects of Big Data Analytics in Africa Healthcare System","year":2018,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Health care; Data science; Analytics; Healthcare system; Business; The Internet; Computer science; Political science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01354544,0.0001822632,0.0007943917,0.000458554,0.001054039,0.00001835831,0.00237933,0.0001520529,0.00001623217],"category_scores_gemma":[0.001395397,0.0001489271,0.00005309254,0.003798757,0.000989032,0.0005174805,0.0005976897,0.0006337136,0.00006480115],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002696045,"about_ca_system_score_gemma":0.0157759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006198482,"about_ca_topic_score_gemma":0.006808385,"domain_scores_codex":[0.9925615,0.0006211146,0.003340079,0.0004909134,0.001544866,0.001441579],"domain_scores_gemma":[0.9922407,0.000220487,0.002879767,0.001109505,0.002866247,0.0006832929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000173822,0.0001197724,0.9447182,0.001911015,0.000008330562,0.00003659423,0.003277145,0.00002937208,0.00005872523,0.01679485,0.002897127,0.02997508],"study_design_scores_gemma":[0.002198142,0.007900757,0.7612235,0.02738111,0.00006221431,0.000800403,0.1361323,0.02856871,0.0006584279,0.01537245,0.01854921,0.001152779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504405,0.005894333,0.002785873,0.01819972,0.01428582,0.002250368,0.0003119452,0.00007351505,0.005757915],"genre_scores_gemma":[0.9962019,0.0001608625,0.002177375,0.0005805966,0.000849232,0.00000368465,0.000001728177,0.00001038604,0.00001417881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1834947,"threshold_uncertainty_score":0.9898037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.421396054171841,"score_gpt":0.5290515110681718,"score_spread":0.1076554568963309,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}